| Title |
Measuring gene expression divergence: the distance to keep
|
|---|---|
| Published in |
Biology Direct, August 2010
|
| DOI | 10.1186/1745-6150-5-51 |
| Pubmed ID | |
| Authors |
Galina Glazko, Arcady Mushegian |
| Abstract |
Gene expression divergence is a phenotypic trait reflecting evolution of gene regulation and characterizing dissimilarity between species and between cells and tissues within the same species. Several distance measures, such as Euclidean and correlation-based distances have been proposed for measuring expression divergence. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Netherlands | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Switzerland | 1 | 1% |
| China | 1 | 1% |
| United Kingdom | 1 | 1% |
| Russia | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 76 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 36% |
| Researcher | 16 | 19% |
| Student > Master | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 45% |
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Computer Science | 5 | 6% |
| Engineering | 3 | 3% |
| Physics and Astronomy | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 15 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Biology Direct
#446
of 537 outputs
Outputs of similar age
#93,967
of 104,148 outputs
Outputs of similar age from Biology Direct
#9
of 9 outputs
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